Student Research Assistant Max Planck Research Group Neural and Computational Basis of Learning, Decision Making and Memory

Job Offer from November 11, 2021

The independent Max Planck Research Group "Neural and Computational Basis of Learning, Decision Making and Memory" at the Max Planck Institute for Human Development in Berlin, led by Dr. Nicolas Schuck, seeks applicants for 1 Student Research Assistant, 60 hours per month / starting January or February 2022.

Application deadline: November 29th 2021, noon.

Job description

A successful candidate will work together with other group members on experimental projects related to the neural basis of decision making and learning. The position will involve supporting all stages of the scientific process, in particular collecting data using behavioural, eye-tracking and fMRI tools, data organisation and -analysis and programming of experimental tasks.

Requirements

  • Matriculation in Psychology, Neuroscience or comparable fields
  • Fluent in German and English
  • Organized working style, good communication skills and ability to work in team
  • Enjoy interacting with study participants of different age groups
  • Interest in neuroscientific research and long-term commitment
  • Flexible working hours

Desired qualifications

  • Experience with behavioural, EEG and/or fMRI data acquisition
  • Some programming experience (Python/R/Matlab)
  • Experience with data analysis methods and statistics 

What we offer

A stimulating and friendly work environment with many opportunities to acquire new skills and learn more about current research in cognitive neuroscience.

Salary: 12.00 €/hour (Bachelor Students), 13.95 €/hour (Master Students).

The Max Planck Society strives for gender equality and diversity equality. We welcome applications from any background.
The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals.

The application should include a motivation letter (max 1 page), CV and relevant university certificates. Please send your application, without a photo, as one single PDF-document to Dr. Nicolas Schuck at

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